Using Fully Homomorphic Encryption to Secure Cloud Computing
|
|
- George Godfrey Mills
- 6 years ago
- Views:
Transcription
1 Internet of Things and Cloud Computing 2016; 4(2): doi: /j.iotcc ISSN: (Print); ISSN: (Online) Using Fully Homomorphic Encryption to Secure Cloud Computing Ihsan Jabbar, Saad Najim Department of Computer Science, University of Mustansiriyah, Baghdad, Iraq address: (Ihsan J.), (Saad N.) To cite this article: Ihsan Jabbar, Saad Najim. Using Fully Homomorphic Encryption to Secure Cloud Computing. Internet of Things and Cloud Computing. Vol. 4, No. 2, 2016, pp doi: /j.iotcc Received: April 6, 2016; Accepted: April 29, 2016; Published: May 12, 2016 Abstract: The concept of cloud computing receiving a great deal of attention both in publication and among users. Cloud computing is the delivery of computing services over the Internet. Cloud services allow individuals and businesses to use software and hardware resources that are managed by cloud providers at remote locations. The distance between the client and the physical location of his data creates a barrier because this data can be accessed by a third party and this would affect the privacy of client s data. The using of traditional encryption schemes to encrypt the remoted data before sending to the cloud provider has been most widely used technique to bridge this security gab. But, the client will need to provide the private key to the server to decrypt the data before perform the calculations required. Homomorphic encryption allows to perform computations on encrypted data without decryption. This paper deals with the use of homomorphic encryption to encrypt the client s data in cloud server and also it enables to execute required computations on this encrypted data. Keywords: Cloud Computing, Cloud Security, Fully Homomorphic Encryption, Privacy 1. Introduction Cloud computing is a hot topic in the information technology field. It enables users to get almost unlimited computing power and it offers potential benefits to these users in terms of instant availability, scalability and resource sharing. Examples of cloud services offers by cloud providers include online file storage (e.g. Dropbox), social networking sites (e.g. Facebook), webmail (e.g. Gmail), and online business application (e.g. Brokerage). The essential characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity and measured service. On-demand self-service means that clients (users or organizations) can request and manage their own computing resources. Broad network access allows services to be offered over the Internet or private networks. Pooled resources mean that customers draw from a pool of computing resources, usually in remote data centers. Rapid elasticity means that services can be scaled larger or smaller. And use of a service is measured and customers are billed accordingly [1]. Although cloud computing has become a mature service model, the adoption of its services by customers (businesses, consumers, etc.) is limited by concerns about the loss of privacy of their private data. Encryption of data could solve this issue, but if the clients want to manipulate their encrypted data in the cloud, they have to share the secret key with cloud provider to decrypt it before execute the required operations [2]. Homomorphic encryption is the appropriate solution to solve cloud computing security issues, since its schemes enable to perform computations on encrypted data without sharing the secret key needed to decrypt the data. In 2009, Craig Gentry [3] introduced the first fully homomorphic encryption (FHE). In 2010, M. Dijk, C. Gentry et el. [4] presented a second fully homomorphic encryption. In the march 2010, Gentry [5] proposed a homomorphic encryption scheme (called Gen10), heading toward widespread use of cloud computing. Unfortunately these schemes are insecure to use in cloud computing. In 2012, Jian Li, Danjie Song et al. [6] proposed a simple FHE derived from Gentry cryptosystem to ensure the privacy in cloud storage, namely SDC scheme. In 2014, Chen and Zhao [7] proposed an improvement to the second scheme of
2 Internet of Things and Cloud Computing 2016; 4(2): Gentry to make the application of FHE in cloud is more secure. Many researchers proposed different applications of homomorphic encryption in cloud computing. In 2014, Yan Zhang et el. [8] proposed a secure image retrieval method for cloud computing based on homomorphic properties of Paillier scheme. In 2015, Kocabas and Soyata [9] presented a method for privacy-preserving medical cloud computing using fully homomorphic encryption. In January 2016, Shu Qin Ren et el. [10] proposed an XOR homomorphism encryption scheme to support secure keyword searching on encrypted data foe cloud storage. This paper addresses the security and confidentiality of user data in cloud computing. The main aim of the paper is to introduce the concepts of homomorphic encryption and how to exploit these concepts to secure cloud computing data. The rest of the paper is organized as follows: section 2, describes the cloud computing concepts and its deployment and services models. Section 3 discusses the security issues of cloud computing with related solutions. Section 4 provides the definition of homomorphic encryption and discusses some examples of existing homomorphic schemes. Section 5 describes how to use homomorphic encryption to secure cloud computing data. Finally, our conclusions are drawn in section Cloud Computing Cloud computing can significantly reduce the cost and complexity of owning and operating computers and networks. If an organization uses a cloud provider, it does not need to spend money on information technology infrastructure, or buy hardware or software licenses. Cloud services can often be customized and flexible to use, and providers can offer advanced services that an individual company might not have the money or expertise to develop. Cloud computing is a subscription-based service where the user can obtain networked storage space and computer resources. To illustrate the idea, cloud computing is similar with the dealing with client (e.g. Gmail, Yahoo, and so on), the provider of client provides all of the hardware and software necessary to support the account. When the user wants to access his he opens the web browser, and goes to the client, and makes log in. The most important part of the equation is that the user must have internet access. The is not housed on physical computer of the user, he accesses it through an internet connection from anywhere. The client is different than the software installed on the user s computer, such as a word processing program. When the user creates a document using word processing software, that document stays on the device used to make it, unless the user physically moves it. An client is similar to how cloud computing works. Except instead of accessing just the services, one can choose what information he have access to within the cloud. The main structure of cloud computing is illustrated in figure 1. Figure 1. Cloud computing structure 2.1. Definition of Cloud Computing The following definition [1] of cloud computing has been provided by National Institute of Standards and Technology (NIST) of U.S. Cloud computing is a model for enabling convenient, ondemand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This cloud model promotes availability and is composed of five essential characteristics, three service models, and four deployment models Types of Deployment Models There are four deployment models of cloud computing as follows [11]: The Public Cloud: A public cloud can be accessed by any subscriber with an internet connection and access to the cloud space. The Private Cloud: A private cloud is established for a specific group or organization and limits access to just that group. The Community Cloud: A community cloud is shared among two or more organizations that have similar cloud requirements (e.g. security requirements). The Hybrid Cloud: A hybrid cloud is a combination of at least two clouds, where the clouds included are a mixture of public, private, or community Types of Service Models There are three service models of cloud computing as follows [1]: Software as a Service (SaaS): A SaaS provider gives subscribers access to both resources and applications. SaaS makes it unnecessary for the user to have a physical copy of software to install on his devices. SaaS also makes it easier to have the same software on all of
3 15 Ihsan Jabbar and Saad Najim: Using Fully Homomorphic Encryption to Secure Cloud Computing user s devices at once by accessing it on the cloud (e.g. web-based ),). In a SaaS agreement, user have the least control over the cloud. Platform as a Service (PaaS): A PaaS provider gives subscribers access to the components that they require to develop and operate applications over the internet. Like using the programming languages, libraries, services, and tools supported by the provider. Infrastructure as a Service (IaaS): An IaaS agreement deals primarily with computational infrastructure. In an IaaS agreement, the subscriber completely outsources the storage and resources, such as hardware and software (e.g. host firewalls).), that they need. 3. Security of Cloud Computing The use of cloud computing has increased rapidly in many organizations. Concomitantly, the problems of third party data security and securely outsourcing computation become increasingly prominent. There is the risk that personal information sent to a cloud provider is often seen as valuable to individuals with malicious intent and might be kept indefinitely or used for other purposes. Also, such information could also be accessed by government agencies, domestic or foreign and this might affect the privacy of user. There are some security issues in cloud computing such as data security, third-party control, and privacy. If all data stored in cloud were encrypted using traditional cryptosystems, this would effectively solve the three above issues [12]. To perform a required computation on encrypted data stored in cloud, a user must share the secret key with cloud provider. First, cloud provider decrypts the data to execute necessary operations then sends the result to the user. To solve this issue, it is necessary to use a cryptosystem based on homomorphic encryption to encrypt the data. Since these cryptosystems allow to do computation on encrypted data. and Silvio Micali [14] proposed their encryption system that able to encrypt one bit in additive homomorphic encryption. Pascal Paillier 1999 [15] suggested another additive homomorphic encryption. In 2005, Dan Boneh, Eu-Jin Goh and Kobi [16] invented a security system of encryption which conduct only single multiplication but large number of additions. In 2009 [3], Craig Gentry construct a fully homomorphic encryption based system that able to conduct both of addition and multiplication in the same time Categories of Homomorphic Encryption There are two main categories of homomorphic encryption schemes: Partially Homomorphic Encryption (PHE) and Fully Homomorphic Encryption (FHE) schemes. PHE schemes, such as RSA, ElGamal, Paillier, Etc., allow to perform either addition or multiplication on encrypted data. Construction of scheme supporting both operations simultaneously was elusive. Although Boneh et al. [8] came closest, allowing unlimited additions and a single multiplication, It was not until 2009 that the three decade old problem was solved in seminal work by Gentry [3], where he showed that performing both addition and multiplication simultaneously are possible in fully homomorphic encryption Partially Homomorphic Encryption A. Multiplicative Homomorphic Schemes A Homomorphic Encryption is multiplicative, if there is an algorithm that can calculate Enc(x y) from Enc (x) and Enc (y) without knowing x and y [17]. Such as RSA and ElGamal Algorithms. Figure 2 illustrates the RSA algorithm as an example of multiplicative homomorphic schemes [18]. 4. Homomorphic Encryption Homomorphic encryption is a type of encryption that allows particular computations to be conducted on ciphertext and return an encrypted result, the decrypted of result is equal the result of conducting the operation on the plaintext. The property of homomorphic is useful to develop a secure e- voting system with high privacy data retrieving scheme, also it makes the use of cloud computing by ensuring the privacy of processed data. An example for its mathematical consistency, if there are two numbers 10 and 20 then both are encrypted to 56 and 69 respectively, the addition operator gives a number with value 125, the decrypted of this value is History of Homomorphic Encryption The concept of homomorphic encryption was suggested in 1978 by Ronald Rivest and Leonard Adleman [13]. But for 30 years the progress is very slow. In 1982, Shafi Goldwasser Figure 2. RSA algorithm. The multiplicative homomorphic property of RSA scheme is as follows [19]: Given mod n, mod n. = ( ). ( ) =. (mod n)=. (mod n) =. (1) B. Additive Homomorphic Schemes A Homomorphic Encryption is additive, if there is an algorithm that can calculate Enc(x + y) from Enc(x) and Enc
4 Internet of Things and Cloud Computing 2016; 4(2): (y) without knowing x and y [17]. Such as Paillier and Goldwasser-Micali algorithms. Figure 3 illustrates the Paillier algorithm as an example of addtive homomorphic schemes [15]. scheme using ideal lattices that is limited to evaluating lowdegree polynomials over encrypted data. It is limited because each ciphertext is noisy in some sense, and this noise grows as one adds and multiplies ciphertexts, until ultimately the noise makes the resulting ciphertext indecipherable. Next, it squashes the decryption procedure so that it can be expressed as a low-degree polynomial which is supported by the scheme. Finally, it applies a bootstrapping transformation, through a recursive self-embedding, to obtain a fully homomorphic scheme [21]. Figure 3. Paillier algorithm. The homomorphic property of Paillier scheme can be shown as follows [12]: E( ). E( ) = (. ) (. ) = ( = E( (mod n)) (2) Fully Homomorphic Encryption All of PHE schemes allow homomorphic computation of only one operation, either addition or multiplication, on encrypted date, except the Boneh-Goh-Nissim scheme which supports performing unlimited number of addition operation but only one multiplication. The constructing of a scheme that allows one to compute arbitrary computation (a scheme should allow an unlimited number of both addition and multiplication operations) over encrypted data has remained a central open problem in cryptography for more than 30 years and thought to be impossible until 2009, when Craig Gentry proposed the first plausible construction of a fully homomorphic scheme [3]. Gentry s work is supporting multiplication and addition in the same time, correspond to AND ( ) and XOR ( ) in Boolean algebra. The remarkable value of supporting these two Boolean functions is that any computation can be converted into a function that contains only ( ) and ( ). In algebra, there are several techniques can be used to convert a function into more simple. By using this techniques can be convert a function to use only specific Boolean operation (e.g. or ). For example A can be expressed as A 1, another example is A B, this can be converted into ( A) ( B), then converted into (A 1) ^ (B 1). By utilizing such techniques, all functions can be converted into a series of ( ) and ( ) operations. This is the basis of Gentry s work [19]. Figure 4 illustrates the difference between the conventional encryption schemes (not PHE) and fully homomorphic scheme. Gentry is using lattice-based cryptography. His proposed fully homomorphic encryption consists of several steps: start from what was called a somewhat homomorphic encryption Figure 4. The difference between the conventional encryption schemes and fully homomorphic scheme [20]. 5. FHE in Cloud Security The security issues of data stored in cloud can be solved by using Fully Homomorphic Encryption (FHE) schemes. To secure it, the data should be encrypted with FHE before being sent to the cloud. First, the user login and uses the keygeneration provided by the server to generate the secret key, the user is the only holder of this secret key. Then, the user encrypts the data that wants to send it to the cloud. During transmitting, the integrity and non-repudiation can be assured by applying other cryptographic technologies such as digital signature. When the user want the server to execute some computations on these encrypted data (such as search), he can send encrypted request to the cloud server. The server performs the required operations and sent the encrypted result to user. Finally the user decrypt the data with his secret key to retrieve the correct result [22]. Figure 5 illustrates the process of using FHE to cloud computing. In 2010, M. Dijk, C. Gentry et el. [4] presented a second fully homomorphic encryption (called DGHV). In their scheme, somewhat homomorphic encryption uses addition and multiplication over the integers rather than working with ideal lattices over a polynomial ring. This scheme is conceptually simpler than Gentry s scheme based on ideal lattice, but has similar properties of homomorphic operations and efficiency. This scheme is insecure in cloud computing because the cipher retrieval algorithm R needs to transfer the private key p to the server [6]. In the march 2010, C. Gentry [5] proposed a homomorphic encryption scheme (called Gen10), heading toward widespread use of cloud computing. This scheme is also
5 17 Ihsan Jabbar and Saad Najim: Using Fully Homomorphic Encryption to Secure Cloud Computing insecure in cloud computing since its cipher retrieval algorithm R asks to submit q (a random number) to the server, yet utilizing c (ciphertext) and q, the plaintext leaks out [6]. process uses the integer q, which is entirely different. Thus satisfies both the demand of ciphertext retrieval and data security [6]. Jian Li, Danjie Song et al. provided a complete proof of correctness of the scheme as follows: Given two messages and. The ciphertext of these messages after encryption: = + p + * p * q. (7) = + p + * p * q (8) To check additively homomorphic property: = + = ( + ) + ( + ) * p * q * 2p. = mod p = +. (9) Then SDC scheme has additively homomorphic property. To check multiplicatively homomorphic property: = * = * + ( + + p)p + (p + + )p q + (p + )p q. = mod p = *. (10) Then SDC scheme has multiplicatively homomorphic property. Figure 5. Applying FHE to secure cloud data. In 2012, Jian Li, Danjie Song et al. [6] proposed a simple FHE derived from Gentry cryptosystem to ensure the privacy in cloud storage. They called the scheme is SDC. The description of SDC scheme as follows: KeyGen(p): The key p is a random odd integer of P-bit. Encrypt (p, m): To encrypt a bit m {0, 1} c = m + p + r * p * q (3) Where r is a random number of R-bit and q is a constain Q-bit big integer. Decrypt (p, c): Output (c mod p). Retrieval(c): R = (c i c index ) mod q. (4) When the user wants to retrieve contents m index, he encrypts the Keywords c index = m index + p + r * p * q (5) And delivers c index to the server. On receiving c index, server reads the ciphertexts, computing R = (c i - c index ) mod q, (6) once R =0, ciphertext retrieval succeeds, and ci is the desired result. In the SDC scheme, transferring q to the server merely, the server can complete the process of ciphertext retrieval successfully, without plaintext leak out, because the process of decryption uses the private key p while the retrieval 6. Conclusion The security issues are a big problem for cloud computing development. To preserve the privacy of his data, the user must encrypt data before being sent to the cloud. Cloud computing security based on homomorphic encryption schemes, because these schemes allow to perform computations on encrypted data without the need to the secret key. Partially Homomorphic Encryption (PHE) such as RSA and Paillier schemes are insufficient to secure cloud computing because these schemes allow to perform only one operation (either addition or multiplication) on the encrypted data of client. Fully Homomorphic Encryption is the best solution to secure the client data in cloud computing because its schemes enable to perform arbitrary computations on encrypted data without decrypting. DGHV and Gen10 schemes of FHE are insecure when they be used in cloud computing to secure data of client. SDC is a simple and considered efficient scheme to secure data in cloud computing. This paper analyzed some of the existing homomorphic encryption schemes and discussed the use of the most efficient one, SDC scheme, to secure cloud computing data. Future work will focus on implementation of SDC scheme in cloud computing and analysis the complexity of the scheme. References [1] P. Mell, T. Grance, The NIST Definition of Cloud Computing, National Institute of Standards and Technology, U. S. Department of Commerce, (2011).
6 Internet of Things and Cloud Computing 2016; 4(2): [2] K. Lauter, M. Naehrig, V. Vaikuntanathan, Can Homomorphic Encryption be Practical?, CCSW' 11, Chicago, llinois, USA, pp , (2011). [3] Craig Gentry, Fully homomorphic encryption using ideal lattice, in Proceedings of STOC 09, (2009). [4] M. van Dijk, C. Gentry, S. Halevi, V. Vaikuntanathan, Fully homomorphic encryption over the Integers, in Proceedings of Advances in Cryptology, EUROCRYPT 10, pages 24 43, [5] Craig Gentry, Computing arbitrary functions of encrypted data, Communications of The ACM, 53(3): , (2010). [6] J. Li, D. Song, S. Chen, X. Lu, A Simple Fully Homomorphic Encryption Scheme Available in Cloud Computing, In Proceeding of IEEE, (2012). [7] Baohua Chen, Na Zhao, Fully Homomorphic Encryption Application in Cloud Computing, in Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 11th International Computer Conference, (2014). [8] Yan Zhang, Li Zhou, Yuanfan Peng, Jing Zhang, A secure Image Retrieval Method Based on Homomorphic Encryption for Cloud Computing, in proceedings of the 19 th International Conference on Digital Signal Processing, (2014). [9] Ovunc Kocabas, Tolga Soyata, Utilizing Homomorphic Encryption to Implement Secure and Private Medical Cloud Computing, in 8 th International Conference on Cloud Computing, IEEE, (2015). [10] Shu Qin Ren, Benjamin Hong Meng Tan, Sivaraman Sundaram, Taining Wang, Yibin Ng,Chang Victor, Khin Mi Mi Aung, Secure searching on cloud storage enhanced by homomorphic indexing, Future Generation Computer Systems, Elsevier, (2016). [11] Maha Tebaa, Said El Haji, Secure Cloud Computing through Homomorphic Encryption, International Journal of Advancements in Computing Technology (IJACT), (2013). [12] Aderemi A. Atayero, Oluwaseyi Feyisetan, Security Issues in Cloud Computing: The Potentials of Homomorphic Encryption, Jornal of Emerging Trends in Computing and Information Sciences, (2011). [13] R. Rivest, I. Adleman, M. Dertouzos, On Data Banks and Privacy Homomorphisms, Foundations of Secure Communication, (1978). [14] S. Goldwasser, S. Micali, Probabilistic encryption and how to play mental poker keeping secret all partial information, in Proceedings of 14th Symposium on Theory of Computing, (1982). [15] Pascal Paillier, Public-key cryptosystems based on composite degree residuosity classes, (1999). [16] D. Boneh, E. Goh, and K. Nissim, Evaluating 2-DNF formulas on ciphertexts, in Proceedings of Theory of Cryptography, TCC 05, (2005). [17] Xing Guangli, Chen Xinmeng, Zhu Ping, Ma Jie, A method of Homomorphic Encryption, Wuhan University Journal of Natural Sciences, Vol. 11, No. 1, pp , (2006). [18] R. Rivest, A. Shamir, and L. Adleman., A Method for Obtaining Digital Signatures and Public Key Cryptosystems, in Communications of the ACM 21.2, pages , (1978). [19] Eyad Saleh, Processing Over Encrypted Data: Between Theory and Practice, Proceedings of the 8th Ph. D. Retreat of the HPI Research School on Service-oriented Systems Engineering, (2015). [20] Brian Hayes, Alice and Bob in Cipherspace, American Scientist, Volume 100, (2012) [21] Jaydip Sen, Homomorphic encryption: theory & Application, In Tech, Theory and Practice of Cryptography and Network Security Protocols and Technologies, (2013). [22] S. Hemalatha, R. Manickachezian, Perfomance of Ring Based Fully Homomorphic Encryption for securing data in Cloud Computing, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 3, Issue 11, (2014).
International Journal of Computer Science Trends and Technology (IJCST) Volume 5 Issue 4, Jul Aug 2017
RESEARCH ARTICLE OPEN ACCESS Optimizing Fully Homomorphic Encryption Algorithm using Greedy Approach in Cloud Computing Kirandeep Kaur [1], Jyotsna Sengupta [2] Department of Computer Science Punjabi University,
More informationInternational Journal of Advance Engineering and Research Development A SURVEY ON HOMOMORPHIC ENCRYPTION TECHNIQUES IN CLOUD COMPUTING
Scientific Journal of Impact Factor (SJIF): 3.134 ISSN (Online): 2348-4470 ISSN (Print) : 2348-6406 International Journal of Advance Engineering and Research Development Volume 2, Issue 2, February -2015
More informationSHE AND FHE. Hammad Mushtaq ENEE759L March 10, 2014
SHE AND FHE Hammad Mushtaq ENEE759L March 10, 2014 Outline Introduction Needs Analogy Somewhat Homomorphic Encryption (SHE) RSA, EL GAMAL (MULT) Pallier (XOR and ADD) Fully Homomorphic Encryption (FHE)
More informationHOMOMORPHIC ENCRYPTION: A SURVEY
HOMOMORPHIC ENCRYPTION: A SURVEY Daniel Okunbor and Chekad Sarami Department of Mathematics and Computer Science Fayetteville State University Fayetteville, NC 28301 {diokunbor, csarami}@uncfsu.edu) Abstract:
More informationHomomorphic Encryption
Homomorphic Encryption Travis Mayberry Cloud Computing Cloud Computing Cloud Computing Cloud Computing Cloud Computing Northeastern saves money on infrastructure and gets the benefit of redundancy and
More informationImproved Delegation Of Computation Using Somewhat Homomorphic Encryption To Reduce Storage Space
Improved Delegation Of Computation Using Somewhat Homomorphic Encryption To Reduce Storage Space Dhivya.S (PG Scholar) M.E Computer Science and Engineering Institute of Road and Transport Technology Erode,
More informationTools for Computing on Encrypted Data
Tools for Computing on Encrypted Data Scribe: Pratyush Mishra September 29, 2015 1 Introduction Usually when analyzing computation of encrypted data, we would like to have three properties: 1. Security:
More informationTo Enhance Homomorphic Encryption scheme for Key Management and Key Sharing in Cloud Computing
International Journal of Emerging Trends in Science and Technology To Enhance Homomorphic Encryption scheme for Key Management and Key Sharing in Cloud Computing Author Preeti Ahuja Punjabi University
More informationCryptanalysis of Brenner et al. s Somewhat Homomorphic Encryption Scheme
Proceedings of the Eleventh Australasian Information Security Conference (AISC 2013), Adelaide, Australia Cryptanalysis of Brenner et al. s Somewhat Homomorphic Encryption Scheme Russell Paulet Xun Yi
More informationAnalysis of Partially and Fully Homomorphic Encryption
Analysis of Partially and Fully Homomorphic Encryption Liam Morris lcm1115@rit.edu Department of Computer Science, Rochester Institute of Technology, Rochester, New York May 10, 2013 1 Introduction Homomorphic
More informationSomewhat Homomorphic Encryption
Somewhat Homomorphic Encryption Craig Gentry and Shai Halevi June 3, 2014 China Summer School on Lattices and Cryptography Part 1: Homomorphic Encryption: Background, Applications, Limitations Computing
More informationSecure Multiparty Computation
CS573 Data Privacy and Security Secure Multiparty Computation Problem and security definitions Li Xiong Outline Cryptographic primitives Symmetric Encryption Public Key Encryption Secure Multiparty Computation
More informationProgramowanie w chmurze na platformie Java EE Wykład 1 - dr inż. Piotr Zając
Programowanie w chmurze na platformie Java EE Wykład 1 - dr inż. Piotr Zając Cloud computing definition Cloud computing is a model for enabling ubiquitous, convenient, ondemand network access to a shared
More informationImprovement in Homomorphic Encryption to Increase Cloud Security
Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320 088X IMPACT FACTOR: 6.017 IJCSMC,
More informationImprovement GRC Security Solution Using SFHE-PORE Algorithm in Cloud Computing
International Journal of Science and Engineering Investigations vol. 6, issue 70, November 2017 ISSN: 2251-8843 Improvement GRC Security Solution Using SFHE-PORE Algorithm in Cloud Computing H. R. Semsar
More informationKV Web Security: Applications of Homomorphic Encryption. Gerhard Pötzelsberger, B.Eng. May 23, 2013
KV Web Security: Applications of Homomorphic Encryption Gerhard Pötzelsberger, B.Eng. May 23, 2013 1 Contents 1 Introduction 3 2 Usage Scenarios 4 2.1 Cloud Services............................ 4 2.1.1
More informationSecure Data Storage and Data Retrieval in Cloud Storage using Cipher Policy Attribute based Encryption
Indian Journal of Science and Technology, Vol 8(S9), 318 325, May 2015 ISSN (Print) : 0974-6846 ISSN (Online) : 0974-5645 DOI: 10.17485/ijst/2015/v8iS9/65600 Secure Data Storage and Data Retrieval in Cloud
More informationA Machine Learning Approach to Privacy-Preserving Data Mining Using Homomorphic Encryption
A Machine Learning Approach to Privacy-Preserving Data Mining Using Homomorphic Encryption Seiichi Ozawa Center for Mathematical Data Science Graduate School of Engineering Kobe University 2 What is PPDM?
More informationA Secure Cloud Using Homomorphic Encryption
A Secure Cloud Using Homomorphic Encryption 1 Prof. Parin Patel, 2 Prof. Hitesh Patel, 3 Prof Kiran Patel Assistant Professor Gandhinagar Institute of Technology, Gandhinagar, India Abstract Cloud computing
More informationCLOUD COMPUTING. Lecture 4: Introductory lecture for cloud computing. By: Latifa ALrashed. Networks and Communication Department
1 CLOUD COMPUTING Networks and Communication Department Lecture 4: Introductory lecture for cloud computing By: Latifa ALrashed Outline 2 Introduction to the cloud comupting Define the concept of cloud
More informationAbstract. Asia-pacific Journal of Convergent Research Interchange Vol.2, No.2, June 30 (2016), pp
Vol.2, No.2, June 30 (2016), pp. 35-41 http://dx.doi.org/10.21742/apjcri.2016.06.05 1) 2) Abstract Cloud computing gives an adaptable and helpful route for information sharing, which brings different advantages
More informationEncrypted Data Deduplication in Cloud Storage
Encrypted Data Deduplication in Cloud Storage Chun- I Fan, Shi- Yuan Huang, Wen- Che Hsu Department of Computer Science and Engineering Na>onal Sun Yat- sen University Kaohsiung, Taiwan AsiaJCIS 2015 Outline
More informationCS573 Data Privacy and Security. Cryptographic Primitives and Secure Multiparty Computation. Li Xiong
CS573 Data Privacy and Security Cryptographic Primitives and Secure Multiparty Computation Li Xiong Outline Cryptographic primitives Symmetric Encryption Public Key Encryption Secure Multiparty Computation
More informationPublic Auditing on Shared Data in the Cloud Using Ring Signature Mechanism
Public Auditing on Shared Data in the Cloud Using Ring Signature Mechanism MS. Gayatri D Patwardhan Prof.B. W. Balkhande Abstract: Cloud computing is the long dreamed vision of computing as a utility,
More informationCOST-EFFECTIVE AUTHENTIC AND ANONYMOUS DATA SHARING WITH FORWARD SECURITY
COST-EFFECTIVE AUTHENTIC AND ANONYMOUS DATA SHARING WITH FORWARD SECURITY CONTENT Introduction Problem statements Literature Review Existing system Proposed system Application Conclusion Future work MOTIVATIONS
More informationCloud Computing Security Solution Based On Fully Homomorphic Encryption.
Cloud Computing Security Solution Based On Fully Homomorphic Encryption. Jadhav Aishwarya 1, Ilhe Nikita 2, Gagare Leena 3, Bhalerao Rahul 4, Prof. Sachin Thanekar 5 1 B.E. Comp, Savitribai phule pune
More informationALI-ABA Topical Courses ESI Retention vs. Preservation, Privacy and the Cloud May 2, 2012 Video Webcast
21 ALI-ABA Topical Courses ESI Retention vs. Preservation, Privacy and the Cloud May 2, 2012 Video Webcast The NIST Definition of Cloud Computing: Recommendations of the National Institute of Standards
More informationAn overview and Cryptographic Challenges of RSA Bhawana
An overview and Cryptographic Challenges of RSA Bhawana Department of CSE, Shanti Devi Institute of Technology & Management, Israna, Haryana India ABSTRACT: With the introduction of the computer, the need
More informationResearch Statement. Yehuda Lindell. Dept. of Computer Science Bar-Ilan University, Israel.
Research Statement Yehuda Lindell Dept. of Computer Science Bar-Ilan University, Israel. lindell@cs.biu.ac.il www.cs.biu.ac.il/ lindell July 11, 2005 The main focus of my research is the theoretical foundations
More informationABSTRACT I. INTRODUCTION
2018 IJSRSET Volume 4 Issue 4 Print ISSN: 2395-1990 Online ISSN : 2394-4099 Themed Section : Engineering and Technology An Efficient Search Method over an Encrypted Cloud Data Dipeeka Radke, Nikita Hatwar,
More informationCloud security is an evolving sub-domain of computer and. Cloud platform utilizes third-party data centers model. An
Abstract Cloud security is an evolving sub-domain of computer and network security. Cloud platform utilizes third-party data centers model. An example of cloud platform as a service (PaaS) is Heroku. In
More informationChannel Coding and Cryptography Part II: Introduction to Cryptography
Channel Coding and Cryptography Part II: Introduction to Cryptography Prof. Dr.-Ing. habil. Andreas Ahrens Communications Signal Processing Group, University of Technology, Business and Design Email: andreas.ahrens@hs-wismar.de
More informationSource Anonymous Message Authentication and Source Privacy using ECC in Wireless Sensor Network
Source Anonymous Message Authentication and Source Privacy using ECC in Wireless Sensor Network 1 Ms.Anisha Viswan, 2 Ms.T.Poongodi, 3 Ms.Ranjima P, 4 Ms.Minimol Mathew 1,3,4 PG Scholar, 2 Assistant Professor,
More informationCloud Computing and Homomorphic Encryption. By: Vicki Holzknecht. East Carolina University. Contact:
Cloud Computing and Homomorphic Encryption By: Vicki Holzknecht East Carolina University Contact: holzknechtvi07@students.ecu.edu Running head: Cloud Computing and Homomorphic Encryption 2 Abstract Cloud
More informationABSTRACT. are used to store, manage and process data, rather than a local server or a personal
ABSTRACT Cloud computing is the practice of using a network of remote servers that are used to store, manage and process data, rather than a local server or a personal computer. Now a days, cloud computing
More informationBLOWFISH ALGORITHM ON ITS OWN CLOUD COMPUTER PERFORMANCE AND IMPLEMENTATION
132 International Journal of Research in Computer Applications And Robotics, x(x): xx-xx INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND ROBOTICS ISSN 2320-7345 BLOWFISH ALGORITHM ON ITS
More informationPrivacy-Preserving Clustering Using Representatives over Arbitrarily Partitioned Data
Privacy-Preserving Clustering Using Representatives over Arbitrarily Partitioned Data Yu Li, Sheng Zhong Computer Science and Engineering Department State University of New York at Buffalo Amherst, NY
More informationPROGRAM obfuscation is the process of making it unintelligible
INTL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS, 2018, VOL. 64, NO. 2, PP. 173 178 Manuscript received January 24, 2018; revised March, 2018. DOI: 10.24425/119366 Block Cipher Based Public Key Encryption
More informationASYMMETRIC CRYPTOGRAPHY
ASYMMETRIC CRYPTOGRAPHY CONTENT: 1. Number Theory 2. One Way Function 3. Hash Function 4. Digital Signature 5. RSA (Rivest-Shamir Adleman) References: 1. Applied Cryptography, Bruce Schneier 2. Cryptography
More informationForensic Analysis Approach Based on Metadata and Hash Values for Digital Objects in the Cloud
Forensic Analysis Approach Based on Metadata and Hash Values for Digital Objects in the Cloud Ezz El-Din Hemdan 1, Manjaiah D.H 2 Research Scholar, Department of Computer Science, Mangalore University,
More informationKey Exchange. Secure Software Systems
1 Key Exchange 2 Challenge Exchanging Keys &!"#h%&'() & & 1 2 6(6 1) 2 15! $ The more parties in communication, the more keys that need to be securely exchanged " # Do we have to use out-of-band methods?
More informationThe Beta Cryptosystem
Bulletin of Electrical Engineering and Informatics Vol. 4, No. 2, June 2015, pp. 155~159 ISSN: 2089-3191 155 The Beta Cryptosystem Chandrashekhar Meshram Department of Mathematics, RTM Nagpur University,
More informationE-Voting System using Homomorphic Encryption in a Cloud Based Environment
, pp.59-68 http://dx.doi.org/10.14257/ijsia.2017.11.5.06 E-Voting System using Homomorphic Encryption in a Cloud Based Environment * Corresponding Author ISSN: 1738-9976 IJSIA Copyright c 2017 SERSC Rachna
More informationCryptography & Key Exchange Protocols. Faculty of Computer Science & Engineering HCMC University of Technology
Cryptography & Key Exchange Protocols Faculty of Computer Science & Engineering HCMC University of Technology Outline 1 Cryptography-related concepts 2 3 4 5 6 7 Key channel for symmetric cryptosystems
More informationNetwork Security Issues and Cryptography
Network Security Issues and Cryptography PriyaTrivedi 1, Sanya Harneja 2 1 Information Technology, Maharishi Dayanand University Farrukhnagar, Gurgaon, Haryana, India 2 Information Technology, Maharishi
More informationSecure Conjunctive Keyword Ranked Search over Encrypted Cloud Data
Secure Conjunctive Keyword Ranked Search over Encrypted Cloud Data Shruthishree M. K, Prasanna Kumar R.S Abstract: Cloud computing is a model for enabling convenient, on-demand network access to a shared
More informationADVANCES in NATURAL and APPLIED SCIENCES
ADVANCES in NATURAL and APPLIED SCIENCES ISSN: 1995-0772 Published BY AENSI Publication EISSN: 1998-1090 http://www.aensiweb.com/anas 2016 May 10(5): pages 223-227 Open Access Journal An Efficient Proxy
More informationComputer Security. 08. Cryptography Part II. Paul Krzyzanowski. Rutgers University. Spring 2018
Computer Security 08. Cryptography Part II Paul Krzyzanowski Rutgers University Spring 2018 March 23, 2018 CS 419 2018 Paul Krzyzanowski 1 Block ciphers Block ciphers encrypt a block of plaintext at a
More informationIntelligent Terminal System Based on Trusted Platform Module
American Journal of Mobile Systems, Applications and Services Vol. 4, No. 3, 2018, pp. 13-18 http://www.aiscience.org/journal/ajmsas ISSN: 2471-7282 (Print); ISSN: 2471-7290 (Online) Intelligent Terminal
More informationThe Design of an Anonymous and a Fair Novel E-cash System
International Journal of Information & Computation Technology. ISSN 0974-2239 Volume 2, Number 2 (2012), pp. 103-109 International Research Publications House http://www. ripublication.com The Design of
More informationPublic Key Algorithms
Public Key Algorithms 1 Public Key Algorithms It is necessary to know some number theory to really understand how and why public key algorithms work Most of the public key algorithms are based on modular
More informationSecurity Analysis of PSLP: Privacy-Preserving Single-Layer Perceptron Learning for e-healthcare
Security Analysis of PSLP: Privacy-Preserving Single-Layer Perceptron Learning for e-healthcare Jingjing Wang 1, Xiaoyu Zhang 1, Jingjing Guo 1, and Jianfeng Wang 1 1 State Key Laboratory of Integrated
More informationCryptography Today. Ali El Kaafarani. Mathematical Institute Oxford University. 1 of 44
Cryptography Today Ali El Kaafarani Mathematical Institute Oxford University 1 of 44 About the Course Regular classes with worksheets so you can work with some concrete examples (every Friday at 1pm).
More informationOutline. Data Encryption Standard. Symmetric-Key Algorithms. Lecture 4
EEC 693/793 Special Topics in Electrical Engineering Secure and Dependable Computing Lecture 4 Department of Electrical and Computer Engineering Cleveland State University wenbing@ieee.org Outline Review
More informationLecture 6: Overview of Public-Key Cryptography and RSA
1 Lecture 6: Overview of Public-Key Cryptography and RSA Yuan Xue In this lecture, we give an overview to the public-key cryptography, which is also referred to as asymmetric cryptography. We will first
More informationCOMPLEXITY ACROSS DISCIPLINES
COMPLEXITY ACROSS DISCIPLINES REU 2015 INTRODUCTION TO CRYPTOGRAPHY Liljana Babinkostova Cybersecurity Defined Information Assurance. IA consists of measures that protect and defend information and information
More informationBioTechnology. An Indian Journal FULL PAPER. Trade Science Inc. Study on secure data storage based on cloud computing ABSTRACT KEYWORDS
[Type text] [Type text] [Type text] ISSN : 0974-7435 Volume 10 Issue 22 BioTechnology 2014 An Indian Journal FULL PAPER BTAIJ, 10(22), 2014 [13778-13783] Study on secure data storage based on cloud computing
More informationImplementation of Decentralized Access Control with Anonymous Authentication in Cloud
Volume-5, Issue-6, December-2015 International Journal of Engineering and Management Research Page Number: 210-214 Implementation of Decentralized Access Control with Anonymous Authentication in Cloud
More informationPublic Key Cryptography and RSA
Public Key Cryptography and RSA Major topics Principles of public key cryptosystems The RSA algorithm The Security of RSA Motivations A public key system is asymmetric, there does not have to be an exchange
More informationJournal of Applied Research and Technology
Disponible en www.sciencedirect.com Journal of Applied Research and Technology Journal of Applied Research and Technology 13 (2015) 245-252 Original www.jart.ccadet.unam.mx Parallelizing fully homomorphic
More informationKey Exchange. References: Applied Cryptography, Bruce Schneier Cryptography and Network Securiy, Willian Stallings
Key Exchange References: Applied Cryptography, Bruce Schneier Cryptography and Network Securiy, Willian Stallings Outlines Primitives Root Discrete Logarithm Diffie-Hellman ElGamal Shamir s Three Pass
More informationA New Dynamic Hash Algorithm in Digital Signature
A New Dynamic Hash Algorithm in Digital Signature Erfaneh Noroozi 1, Salwani Mohd Daud 1, Ali Sabouhi 2, and Hafiza Abas 1 1 Advanced Informatics School (AIS), Universiti Teknologi Malaysia Kuala Lumpur,
More informationApplied Cryptography and Computer Security CSE 664 Spring 2018
Applied Cryptography and Computer Security Lecture 13: Public-Key Cryptography and RSA Department of Computer Science and Engineering University at Buffalo 1 Public-Key Cryptography What we already know
More informationPublic-Key Cryptography
Computer Security Spring 2008 Public-Key Cryptography Aggelos Kiayias University of Connecticut A paradox Classic cryptography (ciphers etc.) Alice and Bob share a short private key using a secure channel.
More informationAttribute Based Encryption with Privacy Protection in Clouds
Attribute Based Encryption with Privacy Protection in Clouds Geetanjali. M 1, Saravanan. N 2 PG Student, Department of Information Technology, K.S.R College of Engineering, Tiruchengode, Tamilnadu, India
More informationCryptography (DES+RSA) by Amit Konar Dept. of Math and CS, UMSL
Cryptography (DES+RSA) by Amit Konar Dept. of Math and CS, UMSL Transpositional Ciphers-A Review Decryption 1 2 3 4 5 6 7 8 1 2 3 4 5 6 7 8 Encryption 1 2 3 4 5 6 7 8 A G O O D F R I E N D I S A T R E
More informationIntroduction To Cloud Computing
Introduction To Cloud Computing What is Cloud Computing? Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g.,
More informationEFFICIENT RETRIEVAL OF DATA FROM CLOUD USING DATA PARTITIONING METHOD FOR BANKING APPLICATIONS [RBAC]
EFFICIENT RETRIEVAL OF DATA FROM CLOUD USING DATA PARTITIONING METHOD FOR BANKING APPLICATIONS [RBAC] Rajalakshmi V., Jothi Nisha V. and Dhanalakshmi S. Faculty of Computing, Sathyabama University, Chennai,
More informationImprovement of Camenisch-Neven-Shelat Oblivious Transfer Scheme
Improvement of Camenisch-Neven-Shelat Oblivious Transfer Scheme Zhengjun Cao and Hanyue Cao Department of Mathematics, Shanghai University, Shanghai, China caozhj@shu.edu.cn Abstract. In 2007, Camenisch,
More informationNon-interactive and Output Expressive Private Comparison from Homomorphic Encryption
Non-interactive and Output Expressive Private Comparison from Homomorphic Encryption Wen-jie Lu 1, Jun-jie Zhou 1, Jun Sakuma 1,2,3 1.University of Tsukuba 2.JST/CREST 3.RIKEN AIP Center Target Function:
More informationCPSC 467: Cryptography and Computer Security
CPSC 467: Cryptography and Computer Security Michael J. Fischer Lecture 11 October 4, 2017 CPSC 467, Lecture 11 1/39 ElGamal Cryptosystem Message Integrity and Authenticity Message authentication codes
More informationSEGMENT STATURE HASH TABLE BASED COST EFFICIENT DATA SHARING IN CLOUD ENVIRONMENT
SEGMENT STATURE HASH TABLE BASED COST EFFICIENT DATA SHARING IN CLOUD ENVIRONMENT K. Karthika Lekshmi 1, Dr. M. Vigilsonprem 2 1 Assistant Professor, Department of Information Technology, Cape Institute
More informationCryptography III. Public-Key Cryptography Digital Signatures. 2/1/18 Cryptography III
Cryptography III Public-Key Cryptography Digital Signatures 2/1/18 Cryptography III 1 Public Key Cryptography 2/1/18 Cryptography III 2 Key pair Public key: shared with everyone Secret key: kept secret,
More informationCloud Computing and Service-Oriented Architectures
Material and some slide content from: - Atif Kahn SERVICES COMPONENTS OBJECTS MODULES Cloud Computing and Service-Oriented Architectures Reid Holmes Lecture 29 - Friday March 22 2013. Cloud precursors
More informationProvable Partial Key Escrow
Provable Partial Key Escrow Kooshiar Azimian Electronic Research Center, Sharif University of Technology, and Computer Engineering Department, Sharif University of Technology Tehran, Iran Email: Azimian@ce.sharif.edu
More informationWhy the cloud matters?
Why the cloud matters? Speed and Business Impact Expertise and Performance Cost Reduction Trend Micro Datacenter & Cloud Security Vision Enable enterprises to use private and public cloud computing with
More informationA SIGNATURE ALGORITHM BASED ON DLP AND COMPUTING SQUARE ROOTS
A SIGNATURE ALGORITHM BASED ON DLP AND COMPUTING SQUARE ROOTS Ounasser Abid 1 and Omar Khadir 2 1, 2 Laboratory of Mathematics, Cryptography and Mechanics, FSTM University Hassan II of Casablanca, Morocco
More informationVHDL for RSA Public Key System
VHDL for RSA Public Key System Rui He, Jie Gu, Liang Zhang, Cheng Li Engineering and Applied Science Memorial University of Newfoundland St. John s, NL, Canada, A1B3X5 E-mail: {ruihe, jiegu, lzhang, licheng}@engr.mun.ca
More information1/10/2011. Topics. What is the Cloud? Cloud Computing
Cloud Computing Topics 1. What is the Cloud? 2. What is Cloud Computing? 3. Cloud Service Architectures 4. History of Cloud Computing 5. Advantages of Cloud Computing 6. Disadvantages of Cloud Computing
More informationA compact Aggregate key Cryptosystem for Data Sharing in Cloud Storage systems.
A compact Aggregate key Cryptosystem for Data Sharing in Cloud Storage systems. G Swetha M.Tech Student Dr.N.Chandra Sekhar Reddy Professor & HoD U V N Rajesh Assistant Professor Abstract Cryptography
More informationA Survey on Secure Sharing In Cloud Computing
A Survey on Secure Sharing In Cloud Computing Aakanksha maliye, Sarita Patil Department of Computer Engineering, G.H.Raisoni College of Engineering & Management, Wagholi, India ABSTRACT: Cloud computing
More informationWhat did we talk about last time? Public key cryptography A little number theory
Week 4 - Friday What did we talk about last time? Public key cryptography A little number theory If p is prime and a is a positive integer not divisible by p, then: a p 1 1 (mod p) Assume a is positive
More informationInternational Journal of Advance Research in Engineering, Science & Technology
Impact Factor (SJIF): 5.302 International Journal of Advance Research in Engineering, Science & Technology e-issn: 2393-9877, p-issn: 2394-2444 Volume 5, Issue 3, March-2018 Key Aggregate Tagged File Searching(KATFS)
More informationFramework Research on Privacy Protection of PHR Owners in Medical Cloud System Based on Aggregation Key Encryption Algorithm
Framework Research on Privacy Protection of PHR Owners in Medical Cloud System Based on Aggregation Key Encryption Algorithm Huiqi Zhao 1,2,3, Yinglong Wang 2,3*, Minglei Shu 2,3 1 Department of Information
More informationGreat Theoretical Ideas in Computer Science. Lecture 27: Cryptography
15-251 Great Theoretical Ideas in Computer Science Lecture 27: Cryptography What is cryptography about? Adversary Eavesdropper I will cut his throat I will cut his throat What is cryptography about? loru23n8uladjkfb!#@
More informationCryptography MIS
Cryptography MIS-5903 http://community.mis.temple.edu/mis5903sec011s17/ Cryptography History Substitution Monoalphabetic Polyalphabetic (uses multiple alphabets) uses Vigenere Table Scytale cipher (message
More informationSide-Channel Attacks on RSA with CRT. Weakness of RSA Alexander Kozak Jared Vanderbeck
Side-Channel Attacks on RSA with CRT Weakness of RSA Alexander Kozak Jared Vanderbeck What is RSA? As we all know, RSA (Rivest Shamir Adleman) is a really secure algorithm for public-key cryptography.
More informationReaction Attack on Outsourced Computing with Fully Homomorphic Encryption Schemes
Reaction Attack on Outsourced Computing with Fully Homomorphic Encryption Schemes Zhenfei Zhang, Thomas Plantard, and Willy Susilo School of Computer Science & Software Engineering (SCSSE) University Of
More informationInternational Journal of Computer Engineering and Applications, Volume XIII, Issue II, Feb. 19, ISSN STUDY ON CLOUD COMPUTING
Omkumar R. Badhai, Shreya A. Deo, Snehal B.Satpute, Mansi Agrawal Department of Computer Engineering, Sipna College Of engineering and Technology, Amravati, Sant Gadge Baba Amravati University ABSTRACT:
More informationKusum Lata, Sugandha Sharma
International Journal of Scientific Research in Computer Science, Engineering and Information Technology 2017 IJSRCSEIT Volume 2 Issue 4 ISSN : 2456-3307 A Survey on Cloud Computing and Mobile Cloud Computing
More informationBuilding a Secure and Compliant Cloud Infrastructure. Ben Goodman Principal Strategist, Identity, Compliance and Security Novell, Inc.
Building a Secure and Compliant Cloud Infrastructure Ben Goodman Principal Strategist, Identity, Compliance and Security Novell, Inc. Why Are We Here? Expanded Enterprise Data access anywhere, anytime
More informationLecture 9: Public-Key Cryptography CS /05/2018
Lecture 9: Public-Key Cryptography CS 5430 3/05/2018 Crypto Thus Far Key pairs Instead of sharing a key between pairs of principals......every principal has a pair of keys public key: published for the
More informationInternational Journal of Scientific Research and Reviews
Research article Available online www.ijsrr.org ISSN: 2279 0543 International Journal of Scientific Research and Reviews Asymmetric Digital Signature Algorithm Based on Discrete Logarithm Concept with
More informationAssignment 9 / Cryptography
Assignment 9 / Cryptography Michael Hauser March 2002 Tutor: Mr. Schmidt Course: M.Sc Distributed Systems Engineering Lecturer: Mr. Owens CONTENTS Contents 1 Introduction 3 2 Simple Ciphers 3 2.1 Vignère
More informationINTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATION ENGINEERING & TECHNOLOGY (IJECET)
INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATION ENGINEERING & TECHNOLOGY (IJECET) International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN 0976 ISSN 0976 6464(Print)
More information- 0 - CryptoLib: Cryptography in Software John B. Lacy 1 Donald P. Mitchell 2 William M. Schell 3 AT&T Bell Laboratories ABSTRACT
- 0 - CryptoLib: Cryptography in Software John B. Lacy 1 Donald P. Mitchell 2 William M. Schell 3 AT&T Bell Laboratories ABSTRACT With the capacity of communications channels increasing at the current
More informationCloud Computing Concepts, Models, and Terminology
Cloud Computing Concepts, Models, and Terminology Chapter 1 Cloud Computing Advantages and Disadvantages https://www.youtube.com/watch?v=ojdnoyiqeju Topics Cloud Service Models Cloud Delivery Models and
More informationStructure-Preserving Certificateless Encryption and Its Application
SESSION ID: CRYP-T06 Structure-Preserving Certificateless Encryption and Its Application Prof. Sherman S. M. Chow Department of Information Engineering Chinese University of Hong Kong, Hong Kong @ShermanChow
More informationENCRYPTED KEY SEARCHING FOR DATA SHARING OVER GROUPS IN THE CLOUD STORAGE THEJA #1, GARREPALLI PRASAD #2,
ENCRYPTED KEY SEARCHING FOR DATA SHARING OVER GROUPS IN THE CLOUD STORAGE THEJA #1, GARREPALLI PRASAD #2, DEPARTMENT OF CSE SAHAJA INSTITUTE OF TECHNOLOGY & SCIENCES FOR WOMEN, KARIMNAGAR ABSTRACT: The
More informationI. INTRODUCTION. Manisha N. Kella * 1 and Sohil Gadhiya2.
2018 IJSRSET Volume 4 Issue 4 Print ISSN: 2395-1990 Online ISSN : 2394-4099 Themed Section : Engineering and Technology A Survey on AES (Advanced Encryption Standard) and RSA Encryption-Decryption in CUDA
More information